Preparing Cloud Physics for Exascale

Cloud model (MONC) is an atmospheric model used throughout the weather and climate community to study clouds and turbulent flows. It’s often coupled with the CASIM microphysics model, which investigates interactions at the millimetre scale. These often model fog, which is very difficult due to the high resolution required – 1 metre instead of 1 kilometre.

New analysis methods facilitate the evaluation of complex engineering data

A further increase in the performance of supercomputers is expected over the next few years. So-called exascale computers will be able to deliver more precise simulations. This leads to considerably more data. Fraunhofer SCAI develops efficient data analysis methods for this purpose, which provide the engineer with detailed insights into the complex technical contexts.

EXCELLERAT to Bring HPC Applications to Engineering Industry

High-performance computing (HPC) specialists are looking forward to the technological improvements that should arrive as supercomputers approach the exascale. New approaches in hardware design and application development will expand the power of supercomputing, making it possible to solve new kinds of complex problems. These advances will, in turn, likely benefit industrial engineering research and development.

New supercomputing record set by ANSYS, HLRS and Cray ​

ANSYS, the High Performance Computing Center (HLRS) of the University of Stuttgart, and Cray Inc. have set a new supercomputing world record enabling organizations to create complete virtual prototypes of products faster than ever. ANSYS Fluent has been scaled to 172,032 computer cores on the HLRS supercomputer Hazel Hen, a Cray XC40 system.